Latest episodes
ML Flow vs Kubeflow 2022 // Byron Allen // Coffee Sessions #108
MLOps Community,
Building a Culture of Experimentation to Speed Up Data-Driven Value // Delina Ivanova // MLOps Coffee Sessions #106
MLOps Community,
Cleanlab: Labeled Datasets that Correct Themselves Automatically // Curtis Northcutt // MLOps Coffee Sessions #105
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MLOps + BI? // Maxime Beauchemin // MLOps Coffee Sessions #104
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Fixing Your ML Data Blind Spots // Yash Sheth // MLOps Coffee Sessions #102
MLOps Community,
Declarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team // Piero Molino // MLOps Coffee Sessions #101
MLOps Community,
Scaling Real-time Machine Learning at Chime // Peeyush Agarwal // Lightning Sessions #1
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MLOps Critiques // Matthijs Brouns // MLOps Coffee Sessions #100
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CPU vs GPU // Ronen Dar & Gijsbert Janssen van Doorn // MLOps Coffee Sessions #99
MLOps Community,
Racing the Playhead: Real-time Model Inference in a Video Streaming Environment // Brannon Dorsey // Coffee Sessions #98
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Real-time Model Inference in a Video Streaming Environment //Jacob Tsafatinos // MLOps Coffee Sessions #97
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FastAPI for Machine Learning // Sebastián Ramírez // MLOps Coffee Sessions #96
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Traversing the Data Maturity Spectrum: A Startup Perspective // Mark Freeman // Coffee Sessions #94
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Model Monitoring in Practice: Top Trends // Krishnaram Kenthapadi // MLOps Coffee Sessions #93
MLOps Community,
Building the World's First Data Engineering Conference // Pete Soderling // MLOps Coffee Sessions #92
MLOps Community,
The Shipyard: Lessons Learned While Building an ML Platform / Automating Adherence // Joseph Haaga // Coffee Sessions #91
MLOps Community,
Bringing Audio ML Models into Production // Valerio Velardo // MLOps Coffee Sessions #90
MLOps Community,
A Journey in Scaling AI // Gabriel Straub // MLOps Coffee Sessions #89
MLOps Community,
Don't Listen Unless You Are Going to Do ML in Production // Kyle Morris // MLOps Coffee Sessions #87
MLOps Community,
Building ML/Data Platform on Top of Kubernetes // Julien Bisconti // MLOps Coffee Sessions #86
MLOps Community,
Continuous Deployment of Critical ML Applications // Emmanuel Ameisen // MLOps Coffee Sessions #85
MLOps Community,
Lessons from Studying FAANG ML Systems // Ernest Chan // MLOps Coffee Sessions #84
MLOps Community,
Better Use cases for Text Embeddings // Vincent Warmerdam // MLOps Coffee Sessions #83
MLOps Community,
Feature Store at Shopify and Skyscanner // Matt Delacour and Mike Moran // Reading Group #4
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Trustworthy Data for Machine Learning // Chad Sanderson // MLOps Meetup #93
MLOps Community,
Machine Learning from the Viewpoint of Investors // Leigh Marie Braswell and Davis Treybig // MLOps Coffee Sessions #81
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The Journey from Data Scientist to MLOps Engineer // Ale Solano // MLOps Coffee Sessions #80
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Platform Thinking: A Lemonade Case Study // Orr Shilon // MLOps Coffee Sessions #79
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Calibration for ML at Etsy - apply() special // Erica Greene and Seoyoon Park // MLOps Coffee Sessions #78
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